Video sequence matching
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6, 3697-3700 vol.6
- https://doi.org/10.1109/icassp.1998.679686
Abstract
We present a novel scheme to match a video clip against a large database of videos. Unlike previous schemes that match videos based on image similarity, this scheme matches videos based on similarity of temporal activity, i.e., it finds similar "actions". Furthermore, it provides precise temporal localization of the actions in the matched videos. Video sequences are represented as a sequence of feature vectors called fingerprints. The fingerprint of the query video is matched against the fingerprints of videos in a database using sequential matching. The fingerprints are computed directly from compressed MPEG videos. The matching is much faster than real-time. We have used this scheme to find similar actions in sporting events, such as diving and baseball.Keywords
This publication has 6 references indexed in Scilit:
- Content oriented visual interface using video icons for visual database systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Ordinal measures for image correspondencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Content-based indexing of image and video databases by global and shape featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Production model based digital video segmentationMultimedia Tools and Applications, 1995
- Automatic partitioning of full-motion videoMultimedia Systems, 1993
- Salient video stillsPublished by Association for Computing Machinery (ACM) ,1993